What are the hardware requirements for Q2.5 32B Slush?

Q2.5 32B Slush requires approximately 65.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Q2.5 32B Slush and how large is it?

Q2.5 32B Slush is developed by crestf411, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Q2.5 32B Slush?

Q2.5 32B Slush is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Q2.5 32B Slush by crestf411 — VRAM 65.7GB, 128K context

Name: Q2.5 32B Slush
Author: crestf411

Q2.5 32B Slush is an open-source language model by crestf411. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:2306.01708 Arxiv:2402.12354 Arxiv:2403.00946 Arxiv:2410.21228 Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in... Conversational Dataset:anthracite-org/c2 logs... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/nopm cl... Dataset:crestf411/limarp-ds Dataset:gryphe/sonnet3.5-charc... Endpoints compatible Instruct Mergekit Not-for-all-audiences Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/crestf411/Q2.5-32B-Slush

Q2.5 32B Slush Parameters and Internals

LLM Name	Q2.5 32B Slush
Repository 🤗	https://huggingface.co/crestf411/Q2.5-32B-Slush
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	65.7 GB
Updated	2025-09-23
Maintainer	crestf411
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 1.9 GB: 14-of-14
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Q2.5 32B Slush capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Q2.5 32B Slush

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than crestf411/Q2.5-32B-Slush.